We will review the key points of this talk and, at the end of it, we will leave you the presentation so that you can consult it.
Generative AI, such as
Gemini, or other systems, is typically approach with one of three goals in mind:
Global Knowlge: Having AI as a global knowlge system to ask questions to or as a substitute for more traditional search systems like Google. Although the problem of hallucinations and incoherent answers will be there, for certain subjects (which you know and control) it is very interesting to have an AI at your side.
Inspiration: Let AI serve as inspiration
Allowing us to engage in dialogue and ask questions that go beyond our routine and what we always do. It will never be the same as talking to our clients ig database or creating focus groups, but it can be a very useful accelerator.
Copilot: In more technical or repetitive tasks
copilots can multiply the spe of work both by offering us direct solutions and because these, for example, when creating programming code, usually contain fewer typographical errors than with human writing. Although you cannot have tips to make your content go viral AI as a copilot for all tasks today, there are increasingly more specializ tools that allow you to use them to do part of your work.
Ways to use AI
In the talk, we discuss three different ways of working with AI, from the most basic to the one we consider most effective, with fewer hallucinations and that can give us the best results.
What we are going to address is how
A person can move from basic use of generative AI to highly specializ use in their work and business methodologies.
This is the basic way that everyone, to handling generative AI, works with these tools. It basically involves opening a conversation environment with a generative it a question, and refining what you ask it bas on the answers it gives you. This dialogue tg data allows us to build as we talk to it and that ends up giving us a valid answer in most cases.